| 2025 | AAAI | PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. | Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang |
| 2025 | CVPR | Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation. | Chanyoung Kim, Dayun Ju, Woojung Han, Ming-Hsuan Yang, Seong Jae Hwang |
| 2025 | CVPR | Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis. | Woojung Han, Yeonkyung Lee, Chanyoung Kim, Kwanghyun Park, Seong Jae Hwang |
| 2025 | CVPR | Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding. | Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang |
| 2025 | CVPR | FALCON: Fast Image Haze Removal Leveraging Continuous Density Mask. | Donghyun Kim, Seil Kang, Seong Jae Hwang |
| 2025 | ICCV | WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image. | Jiwoo Park, Tae Eun Choi, Youngjun Jun, Seong Jae Hwang |
| 2025 | ICLR | See What You Are Told: Visual Attention Sink in Large Multimodal Models. | Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang |
| 2025 | MICCAI | Mono-Modalizing Extremely Heterogeneous Multi-modal Medical Image Registration. | Kyobin Choo, Hyunkyung Han, Jinyeong Kim, Chanyong Yoon, Seong Jae Hwang |
| 2025 | MICCAI | Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis. | Chanyoung Kim, Dayun Ju, Jinyeong Kim, Woojung Han, Roberto Alcover-Couso, Seong Jae Hwang |
| 2025 | MICCAI | PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning. | Yeonkyung Lee, Woojung Han, Youngjun Jun, Hyeonmin Kim, Jungkyung Cho, Seong Jae Hwang |
| 2025 | WACV | Dragtext: Rethinking Text Embedding in Point-Based Image Editing. | Gayoon Choi, Taejin Jeong, Sujung Hong, Seong Jae Hwang |
| 2025 | WACV | Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models. | Youngjun Jun, Jiwoo Park, Kyobin Choo, Tae Eun Choi, Seong Jae Hwang |
| 2024 | CVPR | EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation. | Chanyoung Kim, Woojung Han, Dayun Ju, Seong Jae Hwang |
| 2024 | MICCAI | Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model. | Kyobin Choo, Youngjun Jun, Mijin Yun, Seong Jae Hwang |
| 2024 | MICCAI | Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning. | Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang |
| 2024 | MICCAI | Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. | Yumin Kim, Gayoon Choi, Seong Jae Hwang |
| 2024 | MICCAI | ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation. | Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ahmad P. Tafti, Charles DeCarli, Dana L. Tudorascu, Seong Jae Hwang |
| 2024 | VISIGRAPP | Kore Initial Clustering for Unsupervised Domain Adaptation. | Kyungsik Lee, Youngmi Jun, Eunji Kim, Suhyun Kim, Seong Jae Hwang, Jonghyun Choi |
| 2022 | ACL | The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error. | Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani |
| 2022 | IJCAI | Test-time Fourier Style Calibration for Domain Generalization. | Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu |
| 2022 | UAI | PAC-Bayesian domain adaptation bounds for multiclass learners. | Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang |
| 2021 | ICCV | Point Cloud Augmentation with Weighted Local Transformations. | Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim |
| 2021 | MICCAI | PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. | Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang |
| 2020 | ECCV | Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. | Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla |
| 2019 | ICCV | Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. | Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim |
| 2019 | KDD | Large-Scale Training Framework for Video Annotation. | Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev |
| 2019 | UAI | Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. | Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh |
| 2018 | CVPR | Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. | Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh |
| 2017 | CVPR | Online Graph Completion: Multivariate Signal Recovery in Computer Vision. | Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh |
| 2016 | CVPR | Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. | Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh |
| 2016 | ECCV | Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. | Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. | Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh |